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NLTK EUVDEUVD-2026-40240

| CVE-2026-12243 HIGH
Path Traversal (CWE-22)
2026-06-30 @huntr_ai GHSA-q5h6-fcf5-49g9
7.5
CVSS 3.0 · Vendor: huntr_ai
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Severity by source

Vendor (huntr_ai) PRIMARY
7.5 HIGH
AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
vuln.today AI
7.5 HIGH

Where a host app forwards user input to NLTK loaders, exploitation is network-reachable, low-complexity, and unauthenticated, yielding high confidentiality (arbitrary file read) with no integrity or availability impact.

3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
Red Hat
7.5 HIGH
qualitative

Primary rating from Vendor (huntr_ai).

CVSS VectorVendor: huntr_ai

CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
None

Lifecycle Timeline

2
Analysis Generated
Jun 30, 2026 - 01:26 vuln.today
CVE Published
Jun 30, 2026 - 00:14 cve.org
HIGH 7.5

Blast Radius

ecosystem impact
† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth
  • 68 pypi packages depend on nltk (35 direct, 34 indirect)

Ecosystem-wide dependent count for version 3.9.4.

DescriptionCVE.org

NLTK version 3.9.4 is vulnerable to a path traversal attack due to an incomplete fix for GitHub Issue #3504. The _UNSAFE_NO_PROTOCOL_RE regex in nltk/data.py checks for literal ../ sequences but fails to account for percent-encoded traversal sequences such as ..%2f. The url2pathname() function decodes these sequences after the validation step, allowing an attacker to bypass the protection. This vulnerability enables an attacker to read arbitrary files accessible to the Python process by controlling the resource name parameter passed to nltk.data.load() or nltk.data.find(). The issue affects applications that rely on NLTK for resource loading, including NLP web applications, Jupyter notebooks, and CLI tools. The default pathsec.ENFORCE=False setting exacerbates the impact by not blocking the file read at the open() stage.

AnalysisAI

Arbitrary file disclosure in NLTK 3.9.4 lets remote attackers read any file accessible to the Python process by passing percent-encoded path-traversal sequences (e.g. ..%2f) into nltk.data.load() or nltk.data.find(). …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
Identify app exposing NLTK resource name
Exploit
Submit percent-encoded path (..%2fetc%2fpasswd)
Execution
Regex passes, url2pathname decodes to ../
Impact
Read arbitrary process-accessible file

Vulnerability AssessmentAI

Exploitation Exploitation requires that the host application pass attacker-controllable data into NLTK's resource-name parameter for nltk.data.load() or nltk.data.find() - that data flow is the essential precondition, not a property of NLTK alone. … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment The supplied CVSS 3.0 vector (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N, base 7.5) reflects unauthenticated, low-complexity network exploitation yielding high confidentiality impact with no integrity or availability effect - consistent with an arbitrary file read. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario An NLP web service lets users pick a model or corpus by name and passes that name into nltk.data.load(). An attacker submits a value such as ..%2f..%2f..%2fetc%2fpasswd; the regex sees only the encoded text and approves it, url2pathname() then decodes it to ../../../etc/passwd, and NLTK reads and returns the file contents. …
Remediation No vendor-released patch identified at time of analysis - the input cites only the huntr.com bounty (https://huntr.com/bounties/39aa9354-54ca-4e77-96da-580eb1fe6ed1) and notes this is an incomplete fix for Issue #3504, with no corrected version number provided, so do not assume a tagged release resolves it; monitor the NLTK GitHub repository for a release above 3.9.4 and upgrade once published. … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours: Identify all systems using NLTK 3.9.4 via dependency scanning tools and restrict network access to affected services where possible. …

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Threat intelligence, references, and detailed analysis are available after sign-in.

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EUVD-2026-40240 vulnerability details – vuln.today

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